서울대 바이오시스템 연구실

2020-07-24

Han, H. J., Jung, D. H., Kim, H. J., Lee, T. S., Kim, H. S., Kim, H.-Y., & Park, S. H. 2020. Application of a spectroscopic analysis-based portable sensor for phosphate quantitation in hydroponic solutions. Journal of Sensors, 2020 1-9.

2020-03-22

Jung, D. H., Kim, H. J., Kim, J. Y., Lee, T. S., & Park, S. H. 2020. Model predictive control via output feedback neural network for improved multi-window greenhouse ventilation control. Sensors 20(6), 1756.

2019-12-13

Cho, W.-J. Kim, H.-J. Jung, D.-H. Han, H.-J. Cho, Y.-Y. 2019. Hybrid Signal-Processing Method Based on Neural Network for Prediction of NO3, K, Ca, and Mg Ions in Hydroponic Solutions Using an Array of Ion-Selective Electrodes. Sensors 19, 5508.

2019-10-14

Kim, D.-W., T.-S. Min, Y. Kim, R. R. Silva, H.-N. Hyun, J.-S. Kim, K.-H. Kim, H.-J. Kim, and Y. S. Chung. 2019. Sustainable Agriculture by Increasing Nitrogen Fertilizer Efficiency Using Low-Resolution Camera Mounted on Unmanned Aerial Vehicles. Internati

2018-11-23

Han, X. Z., H. J. Kim, C. W. Jeon, H. C. Moon, J. H. Kim, and S. Y. Yi. 2019. Application of a 3D tractor-driving simulator for slip estimation-based path-tracking control of auto-guided tillage operation. Biosystems Engineering 178: 70-85.

2020-04-30

Han, H. J., Kim, H. J., Jung, D. H., Cho, W. J., Cho, Y. Y., & Lee, G. I. 2020. Real-time nutrient monitoring of hydroponic solutions using an ion-selective electrode-based embedded system. Protected Horticulture and Plant Factory 29(2), 141-152.

2019-12-26

Kim, D. W., Silva, R. R., Kim, J. S., Kim, Y., Kim, H. J., & Chung, Y. S. 2020. Comparison of various kinds of vegetative indices for chlorophyll contents using low-resolution camera. Journal of Crop Science and Biotechnology 23(1), 73-79.

2019-11-13

Han, X., Kim, H. J., Jeon, C. W., & Kim, J. H. 2019. Simulation study to develop implement control and headland turning algorithms for autonomous tillage operations. Journal of Biosystems Engineering, 44, 245-257.

2019-06-30

Kim, D.-W., Y. Kim, K.-H. Kim, H.-J. Kim, and Y. S. Chung. 2019. Case Study: Cost-effective Weed Patch Detection by Multi-Spectral Camera Mounted on Unmanned Aerial Vehicle in the Buckwheat Field. The Korean Journal of Crop Science 64(2):159-164.

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